The Monitoring of Machine Tool Working State Based on Load Current Signal
According to the characteristic of machine tools such as complex driving chain and enclosed housing, this paper selects current signal which is easy to sample as the analytical signal. As the machines tools use different driving chain in different work state, this will affect motor current of machine tools; that is, the characteristics under different working conditions will be included in the current signal. This paper chose wavelet packet decomposition to analyze the current signal, then extracted wavelet packet coefficients of different frequency bands, by the change of wavelet packet coefficient to determine the machine's working condition. From the analysis of lathe current signal sampled in the experiment, it indicates the validity of wavelet packet coefficients as a feature quantity of the machine condition monitoring.
Yi-Min Deng, Aibing Yu, Weihua Li and Di Zheng
G. L. Yu and G. F. Li, "The Monitoring of Machine Tool Working State Based on Load Current Signal", Applied Mechanics and Materials, Vols. 37-38, pp. 1512-1515, 2010